At a Glance: This talk aims to invite you to the forefront of MAPF research directly This is a re-recording of my invited talk at EurMAPF-25, ... RBE 550: Motion Planning Project Proposal Presentation Team: Dheeraj Bhogisetty, Shiva Surya Lolla and Siyuan Huang ...

Multi Agent Path Finding -

This talk aims to invite you to the forefront of MAPF research directly This is a re-recording of my invited talk at EurMAPF-25, ... RBE 550: Motion Planning Project Proposal Presentation Team: Dheeraj Bhogisetty, Shiva Surya Lolla and Siyuan Huang ... Short presentation of the paper: Shaull Almagor and Morteza Lahijanian, "Explainable

Important details found

  • This talk aims to invite you to the forefront of MAPF research directly This is a re-recording of my invited talk at EurMAPF-25, ...
  • RBE 550: Motion Planning Project Proposal Presentation Team: Dheeraj Bhogisetty, Shiva Surya Lolla and Siyuan Huang ...
  • Short presentation of the paper: Shaull Almagor and Morteza Lahijanian, "Explainable
  • This is a poster teaser talk for the paper "A Hierarchical Approach to

Why this topic is useful

This format is designed to help readers move from a broad question into more specific pages without losing context.

Sponsored

Frequently Asked Questions

What is this page about?

This page summarizes Multi Agent Path Finding and connects it with related entries, references, and supporting context.

Is the information always complete?

Not always. Some topics may need verification from official or primary sources.

How should readers use this information?

Use it as a starting point, then open related pages for more specific details.

Reference Gallery

Multi-Agent Path Finding (MAPF)
Explainable Multi Agent Path Finding
Conflict-Based Search for Explainable Multi-Agent Path Finding
Upgrading Multi-Agent Pathfinding for the Real World
Conflict-Based Search (CBS) and Heuristics for Multi-Agent Path Finding
Distributed Multi-agent Navigation Based on ORCA and MAPF solving
Explainable Multi-Agent Motion Planning
HPlan 2021: A Hierarchical Approach to Multi-Agent Path Finding
Multi-Agent Path Finding Maximizing Distance: Carnegie Mellon RI Summer Scholar Sahana Kumar
Combinatorial Optimisation for Multi-Agent Path Finding
Sponsored
View Full Details
Multi-Agent Path Finding (MAPF)

Multi-Agent Path Finding (MAPF)

RBE 550: Motion Planning Project Proposal Presentation Team: Dheeraj Bhogisetty, Shiva Surya Lolla and Siyuan Huang ...

Explainable Multi Agent Path Finding

Explainable Multi Agent Path Finding

Short presentation of the paper: Shaull Almagor and Morteza Lahijanian, "Explainable

Conflict-Based Search for Explainable Multi-Agent Path Finding

Conflict-Based Search for Explainable Multi-Agent Path Finding

J. Kottinger, S. Almagor, and M. Lahijanian, “Conflict-Based Search for Explainable

Upgrading Multi-Agent Pathfinding for the Real World

Upgrading Multi-Agent Pathfinding for the Real World

This talk aims to invite you to the forefront of MAPF research directly This is a re-recording of my invited talk at EurMAPF-25, ...

Conflict-Based Search (CBS) and Heuristics for Multi-Agent Path Finding

Conflict-Based Search (CBS) and Heuristics for Multi-Agent Path Finding

Read more details and related context about Conflict-Based Search (CBS) and Heuristics for Multi-Agent Path Finding.

Distributed Multi-agent Navigation Based on ORCA and MAPF solving

Distributed Multi-agent Navigation Based on ORCA and MAPF solving

Read more details and related context about Distributed Multi-agent Navigation Based on ORCA and MAPF solving.

Explainable Multi-Agent Motion Planning

Explainable Multi-Agent Motion Planning

Short presentation of the paper: J. Kottinger, S. Shaull Almagor, and M. Lahijanian, “Explainable

HPlan 2021: A Hierarchical Approach to Multi-Agent Path Finding

HPlan 2021: A Hierarchical Approach to Multi-Agent Path Finding

This is a poster teaser talk for the paper "A Hierarchical Approach to

Multi-Agent Path Finding Maximizing Distance: Carnegie Mellon RI Summer Scholar Sahana Kumar

Multi-Agent Path Finding Maximizing Distance: Carnegie Mellon RI Summer Scholar Sahana Kumar

Read more details and related context about Multi-Agent Path Finding Maximizing Distance: Carnegie Mellon RI Summer Scholar Sahana Kumar.

Combinatorial Optimisation for Multi-Agent Path Finding

Combinatorial Optimisation for Multi-Agent Path Finding

Read more details and related context about Combinatorial Optimisation for Multi-Agent Path Finding.